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Table 10 Comparison of the results with a change in the number of measurements per day

From: Developing a system that can automatically detect health changes using transfer times of older adults

Scenarioa

Number of measurements per day

FPRb

DRc

ARLd

V SU

[0–10]

0.20±0.07

100 %

7.70±3.34

 

[0–5]

0.16±0.06

100 %

7.80±4.41

V US

[0–10]

0.17±0.07

100 %

10.95±3.59

 

[0–5]

0.16±0.06

100 %

11.05±4.20

V SUS

[0–10]

0.20±0.08

100 %

10.40±4.90

 

[0–5]

0.24±0.08

100 %

8.90±4.15

V USU

[0–10]

0.20±0.08

100 %

9.05±3.33

 

[0–5]

0.21±0.05

100 %

8.18±4.30

  1. Notes
  2. aSimulation scenarios as described in Table 4
  3. bAverage number of False Alerts per week
  4. cDetection Rate
  5. dAverage Run Length